Address
Form of work
SalaryDescription:
Reason: New Contract Position
Department: Customer Experience
Job Category: IT/Technical
Job Title: Sr Data Scientist
Duties: Ideally candidate will be hybrid at our Framingham location (3 days per week on site), however, manager is open to considering remote candidates
Potential to extend beyond initial end date, dependent on business needs
This role will play a pivotal part in shaping the future of our analytics initiatives, leveraging your expertise in advanced statistical methods, machine learning, and artificial intelligence. If you are passionate about driving impactful business solutions through data science and thrive in a collaborative environment, we invite you to be a vital contributor to our exciting journey of transforming data into strategic advantages.
What you'll be doing:
Mines and analyzes complex and unstructured data sets using advanced statistical, machine learning and artificial intelligence methods for use in data driven decision making.
Performs research, analysis, and modeling on organizational data.
Develops and applies algorithms or models to key business metrics with the goal of improving operations or answering business questions.
Contribute directly to the development of sophisticated models and the most advanced data science deliverables.
Be a thought partner to business leaders regarding the development and application of data science to our business.
Work closely with business stakeholders
What you bring to the table:
A quick mind with an outstanding analytical skillset, strategic sense, and business acumen.
Enthusiasm for finding innovative and effective solutions to business challenges.
A teaching mindset: Eager to share knowledge and impart wisdom to team members and business stakeholders.
A learning mindset: Ready to learn about the business, discover new tools and techniques, and expand your skills and knowledge alongside your team.
Broad knowledge of data infrastructure and data science development platforms, with real world experience to help guide decisions about these tools.
Excellent communication skills. Capable of communicating nuanced business needs to technical experts, and technically challenging topics to business stakeholders.
Well-developed project management skills. Track record of leading complex projects to successful completion, and the ability to teach this skill to team members
Skills: Basic Qualifications:
Bachelor's Degree or equivalent work experience
Expertise in Python
Experience with big data technologies and frameworks (Spark)
6+ years of experience with deep expertise in the tools and practice of data science and predictive modeling including statistical modelling, machine learning and artificial intelligence, with a proven track record of delivering impactful business solutions.
Proven adeptness in working within a collaborative, cross-functional team environment.
Preferred Qualifications:
A master's degree in a quantitative field or equivalent experience in an applied setting.
Any retail experience, with a focus in marketing or sales domains, would be a plus
Minimum Degree Required: Bachelor's Degree
Location:
Framingham, MA
500 Staples Drive,
Schedule:
Start Date: 02/19/2024
Estimated End Date: 05/03/2024
Hours Per Week: 40.00
Hours Per Day: 8.00
Reason: New Contract Position
Department: Customer Experience
Job Category: IT/Technical
Job Title: Sr Data Scientist
Duties: Ideally candidate will be hybrid at our Framingham location (3 days per week on site), however, manager is open to considering remote candidates
Potential to extend beyond initial end date, dependent on business needs
This role will play a pivotal part in shaping the future of our analytics initiatives, leveraging your expertise in advanced statistical methods, machine learning, and artificial intelligence. If you are passionate about driving impactful business solutions through data science and thrive in a collaborative environment, we invite you to be a vital contributor to our exciting journey of transforming data into strategic advantages.
What you'll be doing:
Mines and analyzes complex and unstructured data sets using advanced statistical, machine learning and artificial intelligence methods for use in data driven decision making.
Performs research, analysis, and modeling on organizational data.
Develops and applies algorithms or models to key business metrics with the goal of improving operations or answering business questions.
Contribute directly to the development of sophisticated models and the most advanced data science deliverables.
Be a thought partner to business leaders regarding the development and application of data science to our business.
Work closely with business stakeholders
What you bring to the table:
A quick mind with an outstanding analytical skillset, strategic sense, and business acumen.
Enthusiasm for finding innovative and effective solutions to business challenges.
A teaching mindset: Eager to share knowledge and impart wisdom to team members and business stakeholders.
A learning mindset: Ready to learn about the business, discover new tools and techniques, and expand your skills and knowledge alongside your team.
Broad knowledge of data infrastructure and data science development platforms, with real world experience to help guide decisions about these tools.
Excellent communication skills. Capable of communicating nuanced business needs to technical experts, and technically challenging topics to business stakeholders.
Well-developed project management skills. Track record of leading complex projects to successful completion, and the ability to teach this skill to team members
Skills: Basic Qualifications:
Bachelor's Degree or equivalent work experience
Expertise in Python
Experience with big data technologies and frameworks (Spark)
6+ years of experience with deep expertise in the tools and practice of data science and predictive modeling including statistical modelling, machine learning and artificial intelligence, with a proven track record of delivering impactful business solutions.
Proven adeptness in working within a collaborative, cross-functional team environment.
Preferred Qualifications:
A master's degree in a quantitative field or equivalent experience in an applied setting.
Any retail experience, with a focus in marketing or sales domains, would be a plus
Minimum Degree Required: Bachelor's Degree
Location:
Framingham, MA
500 Staples Drive,
Schedule:
Start Date: 02/19/2024
Estimated End Date: 05/03/2024
Hours Per Week: 40.00
Hours Per Day: 8.00
Additional Details :
Projected Start Date : 2024-02-19T00:00:00
Projected End Date : 2024-05-03T00:00:00
Client Company : Staples / Tapfin / FG
Vendor Pay Rate : 64
Selling points for candidate :
Candidate must be your W2 Employee : Yes
Face to face interview required : No
Candidate must be authorized to work without sponsorship : No
Background Check : No
Drug Screen : No
